Industrial EngineeringcoretheorySem 3
SIMULATION MODELING AND ANALYSIS
MIE 3127
Syllabus
- 01Introduction to Simulation: Concepts, nature of simulation, model classification, types of simulation, steps in a simulation study, discrete event simulation, time keeping mechanisms, software, simulation examples
- 02Statistical models in simulation: random variable, discrete and continuous distributions, queuing systems, Markovian models, generation of random numbers and testing its randomness
- 03Analysis of input data: Input modeling, sample independence, parameter estimation, goodness of fitness of tests
- 04Output data analysis: Model building, verification, calibration and validation of models, design of simulation experiment, statistical independence, variance reduction techniques, regression analysis, analysis of variance
References
- Banks, J., J.S. Carson, B.L. Nelson, and D.M. Nicol, Discrete-Event System Simulation, 5th Edition, Prentice Hall, 2010
- Law, A.M., Simulation Modeling and Analysis, 5th Edition, McGraw-Hill, New York, 2015
- Frank L. Severance, System Modeling and Simulation, Wiley, 2001
- D. S. Hira, System simulation, S. Chand Publications, 2001
Credits Structure
3Lecture
0Tutorial
0Practical
3Total